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Article

Artificial Intelligence-Driven Prediction Revealed CFTR Associated with Therapy Outcome of Breast Cancer: A Feasibility Study.

Oncology - 1 Jan 2024

Kováčová Mária, Hlaváč Viktor, Koževnikovová Renata, Rauš Karel, Gatěk Jiří, Souček Pavel

Abstract excerpt

INTRODUCTION: In silico tools capable of predicting the functional consequences of genomic differences between individuals, many of which are AI-driven, have been the most effective over the past two decades for non-synonymous single nucleotide variants (nsSNVs). When appropriately selected for the purpose of the study, a high predictive performance can be expected. In this feasibility study, we investigate the...

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Identifiers

PMID: 39025053
DOI: 10.1159/000540395
PMCID: PMC11614307

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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